MACAT--microarray chromosome analysis tool | Zendy

Joern Toedling | Zendy; Sebastian Schmeier | Zendy; Matthias Heinig | Zendy; Benjamin Georgi | Zendy; Stefan Roepcke | Zendy

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MACAT--microarray chromosome analysis tool

Author(s) -

Joern Toedling,

Sebastian Schmeier,

Matthias Heinig,

Benjamin Georgi,

Stefan Roepcke

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti183

Subject(s) - microarray analysis techniques , chromosome , microarray , computational biology , gene , biology , genetics , dna microarray , gene expression profiling , expression (computer science) , gene expression , computer science , programming language

By linking differential gene expression to the chromosomal localization of genes, one can investigate microarray data for characteristic patterns of expression phenomena involving sizeable parts of specific chromosomes. We have implemented a statistical approach for identifying significantly differentially expressed chromosome regions. We demonstrate the applicability of the approach on a publicly available data set on acute lymphocytic leukemia.

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